Metadata-Version: 2.4
Name: ansys-dyna-core
Version: 0.12.0
Summary: Python interface to LS-DYNA Service
Keywords: Ansys,LS-DYNA,keywords
Author-email: "ANSYS, Inc." <pyansys.core@ansys.com>
Maintainer-email: "ANSYS, Inc." <pyansys.core@ansys.com>
Requires-Python: >=3.10,<4
Description-Content-Type: text/x-rst
License-Expression: MIT
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
License-File: LICENSE
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Project-URL: Documentation, https://dyna.docs.pyansys.com
Project-URL: Homepage, https://dyna.docs.pyansys.com
Project-URL: Source, https://github.com/ansys/pydyna
Project-URL: Tracker, https://github.com/ansys/pydyna/issues
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PyDYNA
======

.. readme_start

|pyansys| |python| |pypi| |GH-CI| |codecov| |MIT| |ruff| |Ask DeepWiki|

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   :target: https://codecov.io/gh/ansys/pydyna
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Overview
========
PyDYNA is a Pythonic package for providing a more convenient and complete way to
build an Ansys DYNA input deck, submit it to the Ansys LS-DYNA solver, and
finally postprocess the results.
 
Pydyna contains two modules:

- ``keywords``: This module provides the ability to create keyword files for LS-DYNA without using gRPC.
- ``run``: This module provides the ability to start the LS-DYNA solver. This does not require any client-server library or Docker container.

Once you have results, you can use the Ansys Data Processing Framework (DPF),
which is designed to provide numerical simulation users and engineers
with a toolbox for accessing and transforming simulation data. DPF
can access data from Ansys solver files and from several files with neutral formats,
including CSV, HDF5, and VTK. Using DPF's various operators,
you can manipulate and transform this data.

The `ansys-dpf-post package <https://github.com/ansys/pydpf-post>`_ provides
a simplified Python interface to DPF, thus enabling rapid postprocessing
without ever leaving a Python environment. For more information on DPF-Post,
see the `DPF-Post documentation <https://post.docs.pyansys.com>`_.

Documentation and issues
========================
Documentation for the latest stable release of PyDyna is hosted at `PyDYNA documentation
<https://dyna.docs.pyansys.com/version/stable//>`_.

For examples on how to use PyDYNA, see `Examples <https://dyna.docs.pyansys.com/version/stable/examples/index.html>`_
in the PyDYNA documentation.

In the upper right corner of the documentation's title bar, there is an option for switching from
viewing the documentation for the latest stable release to viewing the documentation for the
development version or previously released versions.

On the `PyDYNA Issues <https://github.com/ansys/pydyna/issues>`_ page, you can create issues to
report bugs and request new features. On the `PyDYNA Discussions <https://github.com/ansys/pydyna/discussions>`_
page or the `Discussions <https://discuss.ansys.com/>`_ page on the Ansys Developer portal,
you can post questions, share ideas, and get community feedback.

To reach the project support team, email `pyansys.core@ansys.com <pyansys.core@ansys.com>`_.

License
=======
PyDYNA is licensed under the MIT license.

PyDYNA makes no commercial claim over Ansys whatsoever. This library extends the functionality of
Ansys LS-DYNA by adding a Python interface to LS-DYNA without changing the core behavior or
license of the original software. The use of the interactive control of PyDYNA requires a legally
licensed local copy of LS-DYNA.

For more information on LS-DYNA, see the
`Ansys LS-DYNA <https://www.ansys.com/products/structures/ansys-ls-dyna>`_
page on the Ansys website.

.. LINKS AND REFERENCES
.. _pip: https://pypi.org/project/pip/
.. _PyAnsys Developer's Guide: https://dev.docs.pyansys.com/

